00894nas a2200289 4500008004100000245006200041210006200103490000600165100002000171700002100191700001700212700002200229700002200251700002300273700001900296700002400315700001900339700001800358700001900376700001700395700001800412700002300430700001700453700002000470700001600490856009800506 2014 eng d00aOntology Design Patterns for Ocean Science Data Discovery0 aOntology Design Patterns for Ocean Science Data Discovery0 v31 aHitzler, Pascal1 aKrisnadhi, Adila1 aArko, Robert1 aCarbotte, Suzanne1 aChandler, Cynthia1 aCheatham, Michelle1 aFinin, Timothy1 aJanowicz, Krzysztof1 aNarock, Thomas1 aRaymond, Lisa1 aShepherd, Adam1 aWiebe, Peter1 aGangemi, Aldo1 aHafner, Verena, V.1 aKuhn, Werner1 aScheider, Simon1 aSteels, Luc uhttps://daselab.cs.ksu.edu/publications/ontology-design-patterns-ocean-science-data-discovery01947nas a2200241 4500008004100000245006000041210005700101300001400158520126400172653002801436653000801464653001501472100001601487700002401503700001801527700002001545700001701565700002101582700002001603700001501623700001601638856005101654 2013 eng d00aA Geo-ontology Design Pattern for Semantic Trajectories0 aGeoontology Design Pattern for Semantic Trajectories a438–4563 a
Trajectory data have been used in a variety of studies, including human behavior analysis, transportation management, and wildlife tracking. While each study area introduces a different perspective, they share the need to integrate positioning data with domain-specific information. Semantic annotations are necessary to improve discovery, reuse, and integration of trajectory data from different sources. Consequently, it would be beneficial if the common structure encountered in trajectory data could be annotated based on a shared vocabulary, abstracting from domain-specific aspects. Ontology design patterns are an increasingly popular approach to define such flexible and self-contained building blocks of annotations. They appear more suitable for the annotation of interdisciplinary, multi-thematic, and multi-perspective data than the use of foundational and domain ontologies alone. In this paper, we introduce such an ontology design pattern for semantic trajectories. It was developed as a community effort across multiple disciplines and in a data-driven fashion. We discuss the formalization of the pattern using the Web Ontology Language (OWL) and apply the pattern to two different scenarios, personal travel and wildlife monitoring.
10aOntology Design Pattern10aOWL10aTrajectory1 aHu, Yingjie1 aJanowicz, Krzysztof1 aCarral, David1 aScheider, Simon1 aKuhn, Werner1 aBerg-Cross, Gary1 aHitzler, Pascal1 aDean, Mike1 aKolas, Dave uhttp://dx.doi.org/10.1007/978-3-319-01790-7_24